1997
DOI: 10.1142/s012918319700093x
|View full text |Cite
|
Sign up to set email alerts
|

Monte Carlo Simulation of Some Dynamical Aspects of Drop Formation

Abstract: In this work we present some results from computer simulations of dynamical aspects of drop formation in a leaky faucet. Our results, which agree very well with the experiments, suggest that only a few elements, at the microscopic level, would be necessary to describe the most important features of this system. We were able to set all parameters of the model in terms of real ones. This is an additional advantage with respect to previous theoretical works.

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
2
0

Year Published

1999
1999
2008
2008

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(2 citation statements)
references
References 11 publications
(21 reference statements)
0
2
0
Order By: Relevance
“…Chaotic dripping was originally suggested by Rössler [2] and experimentally confirmed by Shaw and his collaborators [3]. Since then, many experimental and theoretical studies have established the dripping faucet as a sort of paradigm for chaotic systems [4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]. Most previous studies have involved measuring the time interval T n between successive drips, because the dripping time is easily measured using a drop-counter apparatus [3,4,5,6,7,8,9,10].…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…Chaotic dripping was originally suggested by Rössler [2] and experimentally confirmed by Shaw and his collaborators [3]. Since then, many experimental and theoretical studies have established the dripping faucet as a sort of paradigm for chaotic systems [4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]. Most previous studies have involved measuring the time interval T n between successive drips, because the dripping time is easily measured using a drop-counter apparatus [3,4,5,6,7,8,9,10].…”
mentioning
confidence: 99%
“…The time intervals are then plotted in pairs (T n , T n+1 ) for each n to give a return map. Because the return maps typically appear low dimensional (∼ one-dimensional), the behavior is often described by a simple dynamical model composed of a variable mass and a spring [3,7,11,12,13,14,15]. In this massspring model, a mass point, whose mass increases linearly with time at a given flow rate Q, oscillates with a fixed value of the spring constant k; and a part ∆m of the total mass m is removed when the spring extension exceeds a threshold, which describes the breakup of a drop.…”
mentioning
confidence: 99%